Triadic Exploration and Exploration with Multiple Experts
This work addresses the problem of integrating multiple expert perspectives into knowledge discovery processes for domains that can be represented by formal contexts, which is relevant for researchers and practitioners in Formal Concept Analysis.
This paper introduces triadic exploration, a method for discovering conditional attribute implications in triadic domains using Triadic Concept Analysis. The authors then adapt this approach to enable attribute exploration with multiple experts who hold diverse perspectives on a given domain.
Formal Concept Analysis (FCA) provides a method called attribute exploration which helps a domain expert discover structural dependencies in knowledge domains that can be represented by a formal context (a cross table of objects and attributes). Triadic Concept Analysis is an extension of FCA that incorporates the notion of conditions. Many extensions and variants of attribute exploration have been studied but only few attempts at incorporating multiple experts have been made. In this paper we present triadic exploration based on Triadic Concept Analysis to explore conditional attribute implications in a triadic domain. We then adapt this approach to formulate attribute exploration with multiple experts that have different views on a domain.